code: def nlp_20news():
      try:
          twenty_train = fetch_20newsgroups(
              subset="train", shuffle=True, random_state=42
          )
      except:  # noqa E722
          pytest.xfail(reason="Error fetching 20 newsgroup dataset")
  
      count_vect = CountVectorizer()
      X = count_vect.fit_transform(twenty_train.data)
      Y = cp.array(twenty_train.target)
  
      return X, Y
  
imports: from cuml.testing.utils import create_synthetic_dataset
  from sklearn.feature_extraction.text import CountVectorizer
  from sklearn import datasets
  from sklearn.datasets import make_regression
  from sklearn.datasets import make_classification
  from sklearn.datasets import fetch_california_housing
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.utils import Bunch
  from datetime import timedelta
  from math import ceil
  import hypothesis
  from cuml.internals.safe_imports import gpu_only_import
  import pytest
  import os
  import subprocess
  import pandas
  from cuml.internals.safe_imports import cpu_only_import
label_desc: Use image node_id 4 for calling a global function with example usage: nlp_20news() and returns: X,  Y